2026 Summer Intern, MS/PhD, Software Engineer, Learned Metrics

Reposted 13 Days Ago
Be an Early Applicant
San Francisco, CA
In-Office
70-70 Annually
Internship
Automotive
The Role
Interns will debug ML model performance, add new features, and modify data pipelines and model architecture. Experience with deep learning and Python is required.
Summary Generated by Built In

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

With over 1M RO miles per week, it is critical that Waymo is able to understand and assess the behavior of all its vehicles- both in the field and in simulation- with automated algorithms. In this role, you will collaborate across teams to bring state-of-the-art ML to production systems that accomplish this, building out what is effectively Waymo's reward model. This is a pivotal component to Waymo's ability to scale and reach its goals.

Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

You will:

  • Debug an ML model's performance, understand why it is performing well in some areas but not in others
  • Add new features to a model, including modifying a data pipeline and the model architecture

You have:

  • Experience with at least 1 deep learning framework (Jax, Pytorch, Tensorflow, etc)
  • Strong Python programming
  • Experience training and debugging ML models in a research or industry context

We prefer:

  • C++ Programming skills
  • Experience training RL agents, including
    • Experience with REINFORCE, PPO, or other RL algorithms
    • Learned rewards or other techniques beyond manual reward tuning
  • Experience applying ML to robotics applications

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.

The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.
Hourly Masters Pay
$70$70 USD
The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.
Hourly PhD Pay
$85$85 USD

Top Skills

C++
Jax
Python
PyTorch
TensorFlow
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The Company
Mountain View, CA
2,359 Employees
Year Founded: 2009

What We Do

Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives.
Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.

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